Control of an active magnetic bearing with multi-layer perceptrons using the torque method

Author

Achkar, Roger ; Owayjan, Michel

Author_Institution

Dept. of Comput. & Commun. Eng., American Univ. of Sci. & Technol. (AUST), Beirut, Lebanon

fYear

2010

fDate

Nov. 29 2010-Dec. 1 2010

Firstpage

214

Lastpage

219

Abstract

The active magnetic bearing (AMB) presents a solution for all the technical problems of the classical bearing since it ensures the total levitation of a body in space eliminating any mechanical contact between the rotor and the stator. The goal of our work is to show the control efficiency of a magnetic sustention, characterized by its nonlinear model, using neural networks (NN). In this paper a study of NN controller for a magnetic bearing under a computed torque control is presented.

Keywords

machine control; magnetic bearings; magnetic fluids; multilayer perceptrons; neurocontrollers; nonlinear control systems; torque control; AMB; NN; active magnetic bearing control; magnetic sustention; multilayer perceptron; neural network; nonlinear model; rotor; stator; torque control; active magnetic bearing; back-propagation algorithm; multi-layer perceptrons; multiple hidden layers; neural controller; non-linear systems and modelling; optimization in neural network´s training;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4244-8134-7

Type

conf

DOI

10.1109/ISDA.2010.5687262

Filename

5687262